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Table 2 Integrating precision cancer medicine into healthcare—key challenges and opportunities

From: Integrating precision cancer medicine into healthcare—policy, practice, and research challenges

Area

Challenge

Opportunity

Medical Practice

 Detection

Many cancers diagnosed too late

Liquid biopsies

 Turnaround time

Time from sample collection to clinically actionable result often too long

Optimization of sample collection and data analysis pipelines

 Treatment

Limited efficiency of targeted treatments

Research on resistance mechanisms and tumor heterogeneity, and use of combined targeted and immune therapy

New standards needed

 Publication and implementation of clinical guidelines

Multiple partly overlapping guidelines published, poor international and inter-sectorial operability

Collaborations between agencies such as the FDA, the EMA, Health Canada, and the NHS. Implementation projects (IGNITE and others)

 Sample collection

Current gold standard (FFPE) suboptimal for genomic data analysis.

Standardization and implementation of new cancer sample collection strategies (for example, fresh frozen) to maximize quality, quantity, and purity of tumor cells.

 Sample preparation and analysis

Suboptimal DNA extraction, library preparation, and sequencing protocols for molecular testing of cancer samples

Implementation of new standards to counteract unavoidable cancer sample limitations (low quality, quantity and purity, high heterogeneity)

 Cancer genomic data analysis

Current bioinformatics pipelines and software suboptimal for the identification of actionable cancer mutations

Development and clinical validation of bioinformatics tools and pipelines for a thorough molecular analysis of tumor samples (including main and subclonal mutations, and cellular context)

 Cancer genomic data sharing

Genetic diversity of the general population and cancer patients poorly represented in current publically available databases.

Development of improved and curated cancer-specific and population databases

Widely variable data sharing policies among clinical institutions and research projects

Alignment of international policies on cancer patients’ data sharing

Clinical trials and compound registration fragmented and patchy

Improve databases of approved compounds and international clinical trial registries

 Test selection

Widely variable genetic testing practices for similar cancer patients across clinical institutions

Production of clinical guidelines on genetic test selection (single gene/gene panel/whole exome/whole-genome sequencing)

 Clinical trials and cost of drugs

Classical clinical trial designs (large and diverse patient populations) inappropriate to test targeted therapies

New clinical trial designs: drug repositioning tests, ‘n-of-one’ trials, rotation therapies

Cost-effectiveness of targeted therapies widely contested

Thorough examination of cost-effectiveness of cancer genomic medicines, taking into account new clinical trial designs

 Intervention endpoints

Traditional endpoints and measures (QALYs) ill-adapted to personalized medicine interventions

Renewed, more holistic intervention endpoints, including patient experience, societal preferences, and values

 Policy, ethical and legal norms

Border between research and healthcare increasingly porous

Development of adapted, international and interoperable ethical and legal norms (GA4GH, P3G)

Higher uncertainty associated with the clinical significance of genomic information

Tension between international research endeavors and national healthcare systems

Pre-implementation research needed

 Identify priorities

Need for a systematic identification of unresolved scientific questions

International conferences and expert reviews in PCM

 Non-genetic aspects of cancer

A number of elements still poorly understood

• Environmental factors

• Behavioral factors

• Social determinants of cancer incidence and survival

Support for targeted research in those domains, while continuing efforts to reduce known factors leading to increased cancer incidence and prevalence (smoking, alcohol consumption, and social deprivation)

  1. EMA European Medicines Agency, FDA Food and Drug Administration, FFPE formalin-fixed paraffin-embedded, GA4GH The Global Alliance for Genomics and Health, IGNITE Implementing Genomics in Practice, NHS National Health Service, PCM precision cancer medicine, P3G Public Population Project in Genomics and Society, QALY quality-adjusted life years